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Foreword
Theaboveexamplesshowalgorithmsandtechnologiesusedtosolvespecific
challengesposedbythedevelopmentoftechnology.However,thisbookincludes
alsochaptersfocusonmethodsofmoregeneralapplications,suchasthepattern
recognitionalgorithms.Theensembleclassificationmethodspresentedin’Archi-
tectureofDependency-NoiseEnsembleforstatistic-baseddiversificationofmultiple
classifiersystems’(chapter5)and’Anovelapproachtolearninganddesigning
neuralnetworks-basedensemble’(chapter7)focusonvariousapproachestoensure
thediversificationofweaklearnersintheclassifierspoolarecharacterizedbyhigh
eńectivenessbothonsyntheticandrealdataproblems.
Ahighsignal-to-noiseratiomostoftencharacterizesrealprocessingenviron-
ments.Therefore,forpracticalapplications,optimalmodelingshouldbecharac-
terizedbyhighimmunitytosignaldisturbances.Suchsolutionsareproposedby
thework’Modelofactivenoisereductionsystemwithadaptivefilteringalgorithms
appliedtoautomotive’(chapter6).Theauthorsanalyzeadaptivefilterstodealwith
thenoisegeneratedbyacarengine.Amoreabstract,universalapproachisproposed
by’SchurParametrizationandOrthogonalModelingofP-StationarySecond-Order
StochasticProcesses’(chapter1),dedicatedtoprocessesthatoriginallyhavenon-
stationarycharacteristics.
ThiscollectionincludesalsoworksonthesubjectofSoftwarePerformance
EngineeringappearsinaworktryingtogeneratePalladioComponentModelson
thebasisofstandardPIMandPSMwithperformanceannotation.Anotherimportant
aspectbeingunderscopeofanalysispresentedherebyJarema(chapter9)isthe
modelingthedynamicsofopinionadaptingthestatisticalphysicsapproachleadingto
thepropositionwhichdescribesallinteractionsinthesystemdescribinginteractions
betweenagents.
Wewouldliketothankalltheauthorsofthechaptersfortheircontributiontothe
presentationofthecurrentchallengesfacedbymoderntechnicalcomputerscience,
whilehopingthatforthereadersitwillbeaninterestinglecturethatwillinspire
research.
Wrocław,November2021
PawełKsieniewiczandMariuszUchroński